Berto Stefano, Perdomo-Sabogal Alvaro, Gerighausen Daniel, Qin Jing, Nowick Katja
Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University LeipzigLeipzig, Germany; Paul-Flechsig Institute for Brain Research, University of LeipzigLeipzig, Germany; Department of Neuroscience, University of Texas Southwestern Medical CenterDallas, TX, USA.
Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany.
Front Genet. 2016 Mar 8;7:31. doi: 10.3389/fgene.2016.00031. eCollection 2016.
Cognitive abilities, such as memory, learning, language, problem solving, and planning, involve the frontal lobe and other brain areas. Not much is known yet about the molecular basis of cognitive abilities, but it seems clear that cognitive abilities are determined by the interplay of many genes. One approach for analyzing the genetic networks involved in cognitive functions is to study the coexpression networks of genes with known importance for proper cognitive functions, such as genes that have been associated with cognitive disorders like intellectual disability (ID) or autism spectrum disorders (ASD). Because many of these genes are gene regulatory factors (GRFs) we aimed to provide insights into the gene regulatory networks active in the human frontal lobe. Using genome wide human frontal lobe expression data from 10 independent data sets, we first derived 10 individual coexpression networks for all GRFs including their potential target genes. We observed a high level of variability among these 10 independently derived networks, pointing out that relying on results from a single study can only provide limited biological insights. To instead focus on the most confident information from these 10 networks we developed a method for integrating such independently derived networks into a consensus network. This consensus network revealed robust GRF interactions that are conserved across the frontal lobes of different healthy human individuals. Within this network, we detected a strong central module that is enriched for 166 GRFs known to be involved in brain development and/or cognitive disorders. Interestingly, several hubs of the consensus network encode for GRFs that have not yet been associated with brain functions. Their central role in the network suggests them as excellent new candidates for playing an essential role in the regulatory network of the human frontal lobe, which should be investigated in future studies.
认知能力,如记忆、学习、语言、解决问题和规划等,涉及额叶及其他脑区。目前对于认知能力的分子基础了解尚少,但认知能力显然是由许多基因的相互作用所决定的。分析参与认知功能的基因网络的一种方法是研究对正常认知功能具有已知重要性的基因的共表达网络,例如那些与智力障碍(ID)或自闭症谱系障碍(ASD)等认知障碍相关的基因。由于这些基因中有许多是基因调控因子(GRF),我们旨在深入了解人类额叶中活跃的基因调控网络。利用来自10个独立数据集的全基因组人类额叶表达数据,我们首先为所有GRF及其潜在靶基因推导了10个单独的共表达网络。我们观察到这10个独立推导的网络之间存在高度变异性,这表明仅依靠单一研究的结果只能提供有限的生物学见解。为了专注于这10个网络中最可靠的信息,我们开发了一种将这些独立推导的网络整合为一个共识网络的方法。这个共识网络揭示了在不同健康人类个体的额叶中保守的强大GRF相互作用。在这个网络中,我们检测到一个强大的中心模块,该模块富集了166个已知参与脑发育和/或认知障碍的GRF。有趣的是,共识网络的几个枢纽编码的GRF尚未与脑功能相关联。它们在网络中的核心作用表明它们是在人类额叶调控网络中发挥重要作用的优秀新候选者,应在未来研究中进行调查。